Applying statistics for nonsequential yield component analysis – Information

On Information Structures and Nonsequential Stochastic Control

In many of the present controlled large-scale systems-communication and computer networks, detection networks, manufacturing systems, economic systems, database systems, power systems, etc.-information is decentralized. Furthermore , in the abovementioned systems it may be impossible to order the control actions a priori, independently of the set of control laws that determines these actions. S...

Applying Independent Component Analysis for Speech Feature Detection

An approach to speech feature detection is developed, which uses the technique of independent component analysis for a blind (unsupervised learning) detection of basic vectors in the Fourier space. This kind of features could replace the Mel Frequency Cepstrum Coefficient (MFCC) features, widely used today for phoneme-based speech recognition. Alternatively, the ICA components could act as basi...

Principal Component Analysis of Crop Yield Response to Climate Change

fMRI data analysis: statistics, information and dynamics

Applying Independent Component Analysis to Clinical fMRI at 7 T

Increased BOLD sensitivity at 7 T offers the possibility to increase the reliability of fMRI, but ultra-high field is also associated with an increase in artifacts related to head motion, Nyquist ghosting, and parallel imaging reconstruction errors. In this study, the ability of independent component analysis (ICA) to separate activation from these artifacts was assessed in a 7 T study of neuro...